RegularSeason📅Score

Looking at the first tables on the left, we see each Regular Season (RS) for the Warriors during the 2010s decade depicted as a table, along with the team's associated record, GP, WP%, and SRS. In each table, every notable player for that team in that season is recorded (min. 41 games, some exceptions allowed), including the # of Games Played, Games Won, and their Regular Season GameScore (RSGS) for each player.

In addition, each and every player is assigned a Player Value (PV), each one is essentially a different tier ranking for players. You will notice the 8 different player-tiers at the top of the Index page above and each tier has an associated (PV), they are

You will also notice several other unorthodox values, the relevant ones are formulas that I devised, I'll just list all the formulas and get the boring part out of the way.

Simply put, in order to get the desired RegularSeason📆Score for a player in any regular season, what made sense was to factor in the goodness of the player and the goodness of their team around them.

Responsibility %

This is just a simple way to see how dependent a team was on any one player. The best and most available players had the highest Responsibility %'s (R%). If there was one superstar with a team full of trash players, their R% would be crazy high, and thus the expectations for their regular season success would be eased.

ie. 2018 LeBron had a ~60% Responsibility %, which is crazy high.

Responsibility Factor

This isn't too important of a factor, but basically whichever player had the highest R% for that season, take 100% and divide by that R%. Its another way for me to place importance on having a higher responsibility for a team without having to use percentages.

Player Impact

For the Player Impact, the actual equation was much more complicated than what was simply shown above. But basically, a player's Expectations for GW% (eGW%) was made relative to their PV. The better you are, the higher your expectations were to lead your team to a better regular season record.

After that, its calculated by finding out by how much were expectations exceeded, the more the better. This gets multiplied by the individual's PV and their R%, and some other minor factors. The result is the desired Player Impact value.

RegularSeason📆Score

For the final step, all that is done here is the Player's Value is divided by the Responsibility Factor (RF), and this gets added to their nerfed PV. After that, for good measure, you multiply this again now by the % of games the player had played that season. And boom, that is the RegularSeason📆Score. And yes, if you are wondering if negative values are possible results here, oh yes they are.